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whisper-large-v2-mn-commercial-v2
Tsedee/whisper-large-v2-mn-commercial-v2
whisper-large-v2-mn-commercial-v2 is a machine learning model from Tsedee. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Apr 7, 2026
- Updated
- Apr 7, 2026
- SHA
- de8b4756
Base models
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
whisper-large-v2-mn-commercial-v2
This model is a fine-tuned version of openai/whisper-large-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3590
- Wer: 0.456
- Cer: 0.1536
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.1636 | 0.2213 | 500 | 0.3490 | 0.4499 | 0.1493 |
| 0.1416 | 0.4427 | 1000 | 0.3499 | 0.4498 | 0.1495 |
| 0.1492 | 0.6640 | 1500 | 0.3489 | 0.4538 | 0.1505 |
| 0.1385 | 0.8853 | 2000 | 0.3522 | 0.4515 | 0.149 |
| 0.1281 | 1.1067 | 2500 | 0.3531 | 0.4486 | 0.1496 |
| 0.1525 | 1.3280 | 3000 | 0.3575 | 0.4502 | 0.1495 |
| 0.1312 | 1.5494 | 3500 | 0.3591 | 0.4546 | 0.1515 |
| 0.1374 | 1.7707 | 4000 | 0.3587 | 0.4562 | 0.1525 |
| 0.1292 | 1.9920 | 4500 | 0.3590 | 0.456 | 0.1536 |
Framework versions
- PEFT 0.18.1
- Transformers 4.46.3
- Pytorch 2.4.1+cu124
- Datasets 3.6.0
- Tokenizers 0.20.3
- Library
- peft
- License
- apache-2.0
- Created
- Apr 7, 2026
- Updated
- Apr 7, 2026